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Last edited by Tiago Peixoto
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Contributing to Netzschleuder

If you wish to contribute to Netzchleuder with a new dataset, please follow these steps:

  1. Navigate to the Issues page and open a new issue.
  2. Under 'Description: choose template' select new_dataset.
  3. Follow the instructions in the template, and provide the requested information.

(For users which are so inclined, a dataset can also be added by forking the git repository, modifying the source code directly and proposing a merge request.)

FAQ

Do I need to be the owner of the dateset to ask it to be included in the repository?

No. As long the datasets is publicly available, and upstream allows dissemination, it can be included.

Do I need to provide upstream files in any particular format?

No, the repository is implemented by writing code that downloads, parses and converts the upstream files to the ones that can be downloaded from the repository website. Therefore, we can handle any upstream format for which this can be done (which includes even Excel files). However, machine friendly formats such as gt, GraphML, and GML are very welcome, since it makes parsing and conversion easier and less error-prone.

I have converted some networks from their upstream sources into gt/GraphML/GML, would this be useful to you?

Potentially. The converted files themselves are not really useful, since the repository attempts always to point directly to the upstream sources, in an effort to allow future maintenance, auditability and transparency. What could be very useful is the code that was used to do the conversion, even if it's not perfect or doesn't conform directly to how things are done in Netzschleuder (e.g. if it is implemented in a different programming language). Such information can be useful to implement the parsing in the repository.

I have produced some network data as part of my own research project. Can I host it on Netzschleuder instead of my own upstream website?

Yes, this is possible. Please indicate so when you are submitting your data. Nevertheless, please consider the use of general open data repositories such as http://figshare.com or https://zenodo.org, since they can provide better long-term archiving, versioning, and other useful features such as DOIs. The use of such free platforms is encouraged, and preferred over upstream hosting directly in Netzschleuder.